画質 高画質

it's a work in progress.....
im a work in progress...

it's been 4+years, let me out of the basement 🥺

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色ぬり途中の姫様らくがき。古代ドレス姿好きなんだけど、色ぬり途中でぜったいこういう風呂上がりのバスタオル姿になる。なりませんか…?
なので自分の中ではバスタオル姫と呼んでる(ゾナウ文様などの細かい模様は最後に描くので…)
Zelda in ancient clothing. Coloring in progress.

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oh wait I forgot completely about this. The fucking Black Moon. Of course the natural progression for Dottore's Gendo-coding after Giant Purple Robot would be to restore a shattered moon.

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Hi
name is Blade (or JNXED) and i love to draw hot girls and sometimes share my progress through streams.
On a mission to become one of the best out there >:]

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Work in progress
Drawing action scene is difficult o(--(

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thank you for coming by!! there's still a lot i need to do but progress was made!

laimu and ferret minki sketch request for @/agito666 https://t.co/gmK9WN0fbi

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Just to share a bit of progress.. Still a lot to go, but I'm liking how her skin is turning out... Gotta make dear Mechty as great as possible! ❤️

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IRyS art in progress!

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Maybe the nicest fishnets I've done- Work In Progress

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Today I made the lineart and started the base colors of Mecthy, so I wanted to tease a bit of the progress and wish you all a Happy Easter!!

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My son🐯 (in progress)

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Line art work in progress

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Work in progress (again)
5⃣sensei (again)

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NOW LIVE! / ¡EN DIRECTO!
Special Wednesday Stream!
Let's make some more good progress on this piece of Donna at the game center! 👓✨
https://t.co/9YsdBjD0CP

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I was gonna state how hard it is to draw this with one hand but then realized how stupid I sound

Ofc I draw with one hand, it’s *drawing*

Anyways, progress?

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Progress / experiences so far on lokr trainings, before I forget:

vram (bf16, 1024px):
- 24G for square images single aspect ratio bs1 on dev (not sure)
- 32/48G for full, around bs1
- 80G for aspect buckets + bs8

training:
- use SimpleTuner
- use EMA (doesnt take

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Progress / experiences so far on lokr trainings, before I forget:

vram (bf16, i1-full, 1024):
- 24G/48G for square images single aspect ratio bs1
- 80G for aspect buckets + bs8

training:
- use SimpleTuner
- use EMA (doesnt take vram, and it really helps)
- lion 3e-5 if

0 0

Progress / experiences so far on lokr trainings, before I forget:

vram (bf16, i1-full, 1024):
- 24G/48G for square images single aspect ratio bs1
- 80G for aspect buckets + bs8

training:
- use SimpleTuner
- use EMA (doesnt take vram, and it really helps)
- lion 3e-5 if

0 0